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sympy-computer-algebra

sympy-computer-algebra

Symbolic computation using SymPy for Python-based mathematical analysis

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: sympy-computer-algebra description: Symbolic computation using SymPy for Python-based mathematical analysis allowed-tools:

  • Bash
  • Read
  • Write
  • Edit
  • Glob
  • Grep metadata: specialization: mathematics domain: science category: symbolic-computation phase: 6 graph: domains: [domain:mathematics] specializations: [specialization:computational-mathematics] skillAreas: [skill-area:mathematical-reasoning, skill-area:computational-geometry, skill-area:graph-algorithms] workflows: [workflow:experiment-design] roles: [role:computational-scientist, role:research-scientist]

SymPy Computer Algebra

Purpose

Provides symbolic computation capabilities using SymPy for Python-based mathematical analysis and manipulation.

Capabilities

  • Symbolic differentiation and integration
  • Equation solving (algebraic, differential)
  • Series expansion and limits
  • Matrix algebra and linear algebra
  • Pattern matching and simplification
  • Code generation (NumPy, C, Fortran)

Usage Guidelines

  1. Symbol Definition: Define symbols with appropriate assumptions
  2. Expression Building: Construct symbolic expressions
  3. Simplification: Apply appropriate simplification strategies
  4. Code Generation: Export to efficient numerical code

Tools/Libraries

  • SymPy
  • NumPy
  • mpmath
저장한 Skills